Network Balance Module
The Network Balance Module provides a visual planning grid that compares forecasted trips against available drivers, by zone and time window. It helps dispatchers and planners identify regional surpluses or shortages of capacity and enables better alignment between supply (drivers) and demand (loads/trips) over time.
Table of Contents
Key Use Cases
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Identify zones with too many loads and not enough drivers (imbalances)
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Spot underutilized driver pools or excess capacity
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Plan repositioning strategies to close regional gaps
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Adjust trip assignments and prioritize critical lanes
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Use near real-time data to reforecast zone-level operations
Navigation Overview
Navigate to Planning > Balance from the left-side menu.
The page consists of two sections:
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Top Panel: Zone-based grid displaying Trips, Drivers, and Net Imbalance
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Bottom Panel: Filtered Trips or Driver Table based on selected timeframe and zone
How the Balance Grid Works
The grid displays rows by Zone (e.g., Mid-Atlantic, Southeast, Pacific) and columns by Day (or smaller intervals if configured). Each cell shows:
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Trips: Number of loads requiring coverage
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Drivers: Number of available or inbound drivers
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Net (Ratio): Difference between trips and drivers and a percentage to visualize imbalance
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Positive = surplus drivers
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Negative = shortage of drivers
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Ratio = (Net ÷ Trips) for quick scanning
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* Cells are color-coded based on severity of imbalance. Each value is a hyperlink to populate the Bottom Panel
Time Granularity & Date Range Filters
Use the dropdown menus above the grid to control your view:
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Time Buckets:
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Every 6h
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Every 8h
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Every 12h
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Every 24h (default)
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Date Range:
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Today
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Next 3 days
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Next 7 days
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* These selections dynamically update the columns and total grid view.
Driver & Trip View Selectors
These filters let you apply custom logic to who is considered “available” or “inbound”:
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Drivers: Choose driver pools based on fleet, mode, or tag from saved driver views
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Trips: Filter down to only contractual freight, high-priority shipments, or brokerable loads based on saved trip views
* This is useful for scenario planning, dedicated fleet analysis, or contract compliance tracking.
Trips Panel
The Trips Grid underneath the Balance Grid shows all trips within the selected time and zone range.
You can:
- Click on a Trip ID to open the Trip Detail Panel
- Select trips to initiate Optimization
- Sort or filter by Revenue, Customer, Appointment Time, Load ID
- Export data as CSV for downstream modeling or executive review
Driver Panel
When a user selects a zone and time bucket in the Balance Grid, the Driver Panel appears below the table, showing a filtered list of drivers available in that specific zone and window.
This table allows planners to:
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View all available or inbound drivers contributing to that zone’s driver count
- Select drivers to initiate Optimization
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Analyze where drivers are coming from, their next available location, and PTA (Planned Time of Availability)
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Cross-reference driver zones, fleets, and domicile assignments
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Prepare for repositioning or optimize driver-load pairing manually
* This panel helps bridge the gap between projected supply and demand, giving planners the ability to act immediately by assigning or relocating specific drivers.
Data Dictionary
Name |
Description |
Data Type |
---|---|---|
Zone |
Defined geographic area (e.g., Northeast Zone) |
String |
Date |
Specific date (and optionally hour) of evaluation |
Date or DateTime |
Trips |
Count of trips forecasted to start in the zone during that time bucket |
Integer |
Drivers |
Count of drivers available in the zone during the same period |
Integer |
Net |
Calculated difference: Drivers - Trips |
Integer |
Ratio |
Net divided by Trips, expressed as a percentage |
Percentage |
Time Bucket |
Time slice for aggregation (6h, 8h, 12h, 24h) |
Enum |
Driver View |
Filter applied to determine which drivers are included |
Filter Tag |
Trip View |
Filter applied to determine which trips are included |
Filter Tag |
Trips Table |
All filtered trip records by ID, status, start time, location, etc. |
Table |